Are common language effect sizes easier to understand than traditional effect sizes?

Volume: 99, Issue: 2, Pages: 332 - 340
Published: Jan 1, 2014
Abstract
Communicating the results of research to nonscientists presents many challenges. Among these challenges is communicating the effectiveness of an intervention in a way that people untrained in statistics can understand. Use of traditional effect size metrics (e.g., r, r²) has been criticized as being confusing to general audiences. In response, researchers have developed nontraditional effect size indicators (e.g., binomial effect size display,...
Paper Details
Title
Are common language effect sizes easier to understand than traditional effect sizes?
Published Date
Jan 1, 2014
Volume
99
Issue
2
Pages
332 - 340
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